i-have-adhd vs Ray Serve
A side-by-side comparison of features, pricing, and characteristics.
i-have-adhd
An open-source skill that makes coding-agent responses concise, actionable, and ADHD-friendly.
Read the full reviewRay Serve
Ray Serve is a scalable model serving library built on the Ray distributed computing framework.
Read the full review| Attribute | i-have-adhd | Ray Serve |
|---|---|---|
| Pricing type | Free | Free |
| Korean support | No | No |
| Platforms | Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor, Zed | Web, API, CLI |
| Open source | Yes | Yes |
| API available | - | Available |
| SDK | - | Available |
| LLM-based | - | - |
| Multimodal | - | Yes |
| AI model | - | - |
| GitHub Stars | 27.4K | 42.6K |
| Vendor | - | Anyscale |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
i-have-adhd key features
- Presenting answers and next actions first
- Structuring multi-step tasks into numbered lists
- Redisplaying progress at every turn
- Providing specific time estimates
- Explaining errors focusing on location, cause, and solution
- Suppressing unnecessary introductions and conclusions
Ray Serve key features
- Framework Agnostic
- Python-first Configuration
- Dynamic Autoscaling
- Complex Pipeline Composition
- Distributed Resource Management
- HTTP & gRPC Support